Journal of Systems Engineering and Electronics ›› 2010, Vol. 32 ›› Issue (3): 483-486.

• 电子技术 • 上一篇    下一篇

基于归一化空间符号函数的鲁棒波达角估计

刘春静1,2, 刘枫2, 王文昌2, 张曙1   

  1. (1. 哈尔滨工程大学信息与通信工程学院, 黑龙江 哈尔滨 150001;2. 信息综合控制国家重点实验室, 四川 成都 610036)
  • 出版日期:2010-03-18 发布日期:2010-01-03

Robust DOA estimation based on normalized spatial sign function

LIU Chun-jing 1,2, LIU Feng 2, WANG Wen-chang 2,ZHANG Shu 1   

  1. (1. Coll. of Information and Communication Engineering, Harbin Engineering Univ., Harbin 150001, China;2. National Information Control Lab., Chengdu 610036, China)
  • Online:2010-03-18 Published:2010-01-03

摘要:

提出了一种适用于任意未知统计特性的脉冲噪声环境下的波达角估计算法。算法扩展了非参数统计中的空间符号和秩的概念,采用归一化的空间符号函数来构造阵列协方差矩阵,然后根据子空间算法进行测向。从理论上证明了归一化的空间符号协方差矩阵用于波达角估计的可行性,为该算法的进一步推广奠定了基础。计算机仿真结果表明,该算法在任意脉冲噪声环境中表现出良好的鲁棒性,而且对阵列增益和相位噪声不敏感。

Abstract:

A robust direction-of-arrival (DOA) estimation algorithm against arbitrary impulse noise of unknown statistics is proposed. The algorithm extends the concept of spatial sign and rank in nonparametric statistics so as to construct an array covariance matrix by using the normalized spatial sign function, then a subspace method is applied to direction finding. It is feasible to estimate DOAs according to the normalized spatial sign covariance matrix. On the basis of the theoretical proofs the algorithm can be generalized to any subspace methods. Computer simulation results show that the algorithm is robust in the arbitrary impulse noise environment and is not sensitive to the array gain and phase errors.